One of the biggest advantages of using Hibernate over JDBC is that it gives you clean and readable code to work with. Hibernate allows developers to get rid of several JDBC API-based boilerplate codes.

Moreover, Hibernate gives you HQL which is more relevant to Java and I object-oriented in nature. This reduces your burden of writing database-independent queries. In the case of JDBC, developers are required to be well-versed in database-specific codes to build robust applications.

Here are some of the key Hibernate framework interfaces:

It is a framework, so Angular It is a framework, so Angular In Hibernate, a Session refers to an object maintaining the connection between your database and Java object application. It also provides you with the right methods for storing, modifying, retrieving, and deleting data from your database with multiple methods, such as get(), load(), persist(), delete(), update(), and more.

SessionFactory provides developers with a Session instance in Hibernate. It is nothing but a factory class giving you Session objects according to the configuration parameters for establishing the connection with the database. An application often has no more than one SessionFactory interface. Also, its internal state including ORM metadata is immutable. This implies that the instance cannot be deleted once it is created.

No, this statement is not true. Session is not a thread-based object. There is no limit to the number of threads that can access data from it.

In Hibernate, lazy loading is used by developers to enhance the performance of their applications by loading child objects on demand. Hibernate 3 onwards, the lazy loading feature is enabled in the framework by default.

No, it is not okay to declare the Entity class final. This is because Hibernate uses proxy objects and classes to “lazy load” the data and hits the database only when required. You can achieve this by extending the Entity bean. Making the Entity class final prevents you from extending it and supporting lazy loading.

Hibernate provides users with the optional feature of cache region for the resultset of the queries. It demands additional features to be configured to be enabled. The cache is beneficial for queries that are frequently called with the same parameters. The enhances the performance of commonly repetitive queries and improves data retrieval speeds.

The N+1 Select problem in Hibernate is the result of lazy loading and an on-demand fetching strategy. We can understand this using an example. Suppose you have an N items list with each item having a dependency on a collection of a different object. Let’s call this subject bid. To find the highest bid for every item with an active lazy loading strategy, Hibernate will fire 1 query first to load all items. Subsequently, it will fire N queries with the intention of loading big of every item. This will lead to Hibernate executing N+1 queries.

Here are some of the most common strategies used to solve the N+1 Select problem in Hibernate:

In Hibernate, concurrency strategies refer to the mediators that help users store and retrieve items from the cache. It is a developer’s responsibility to provide the right strategy to be implemented while enabling a second-level cache for every persistent collection and class.

Here are the concurrency strategies used in Hibernate: